Fluid teams.

Fluid teams are teams whose members are drawn from various technical domains or organizational divisions and assembled to undertake a critical, time-limited task. Members of these teams are rapidly assembled, have no prior familiarity or experience working together, must begin work immediately to accomplish the task, and then cease to exist following completion. In this article, we elaborate and clarify the construct of fluid teams, examine the challenges of the fluid team context for military team performance, and propose approaches for supporting fluid team performance.

Composition considerations for fluid teams: a review.

The need exists to better understand how to comprise fluid teams-teams that are assembled on short notice, from members with little to no familiarity, who come together to carry out a time-limited task, and then disband. Due to the ever-increasing complexity of the modern workplace, the demand for these types of fluid teams is growing in task domains such as the military, aviation, healthcare, and industry. The aim of this paper is to review the team composition literature to shed light on composition considerations for forming fluid teams.

Supporting fluid teams: a research agenda.

Fluid teams are teams that are rapidly assembled from across disciplines or areas of expertise to address a near-term problem. They are typically composed of individuals who have no prior familiarity with one another, who as a team must begin work immediately, and who disband at the completion of the task. Prior research has noted the challenges posed by this unique type of team context.

Convergent cross sorting for estimating dynamic coupling.

Natural systems exhibit diverse behavior generated by complex interactions between their constituent parts. To characterize these interactions, we introduce Convergent Cross Sorting (CCS), a novel algorithm based on convergent cross mapping (CCM) for estimating dynamic coupling from time series data. CCS extends CCM by using the relative ranking of distances within state-space reconstructions to improve the prior methods' performance at identifying the existence, relative strength, and directionality of coupling across a wide range of signal and noise characteristics.

Beyond frequency counts: Novel conceptual recurrence analysis metrics to index semantic coordination in team communications.

Semantic alignment is a key process underlying interpersonal and team communication. However, semantic similarity is difficult to quantify, and statistical approaches designed to measure it often rely on methods that make the identification of the relative importance of key words difficult. This study outlines how conceptual recurrence analysis (CRA) can address these issues and can be used to detect conceptual structure in interpersonal communication.

Movement constraints on interpersonal coordination and communication.

The present study investigated how constraining movement affects interpersonal coordination and joint cognitive performance. Pairs of participants worked cooperatively to solve picture-puzzle tasks in which they conversed to identify differences between pictures in 3 degree-of-constraint conditions: both participants were free to move their hands (free-free; FF); both participants' hands were restrained (restrained-restrained; RR); and the hands of 1 participant were free while the hands of the other participant were restrained (free-restrained; FR). Eye tracking data were collected, and movement was measured at the waist, hand, and head.

Felt heaviness is used to perceive the affordance for throwing but rotational inertia does not affect either.

Bingham et al. discovered a perceptible affordance property, composed of a relation between object weight and size, used to select optimal objects for long-distance throwing. Subsequent research confirmed this finding, but disconfirmed a hypothesis formulated by Bingham et al.